Areas of Expertise
Renewable Energy Generation Forecasting, Energy Systems, Machine Learning Applications, Power Systems Analysis
Teaching Interests
Mathematics, Statistics, Data Science, and Power Systems, Renewable Energy, and Computer Science Subjects
Representative Publications
5. da Silva Fonseca Jr., J. G., Takeuchi, T., Saito, T., Shuhei, S. & Ogimoto, K. On the Effects of Nodal PV Power Forecasting Errors on the Operation of Power Systems. 40th European Photovoltaic Solar Energy Conference and Exhibition 020489-001-020489–006 (2023) doi:10.4229/EUPVSEC2023/5CO.5.4.
4. Gari da Silva Fonseca, J., Uno, F., Ohtake, H., Oozeki, T. & Ogimoto, K. Enhancements in Day-Ahead Forecasts of Solar Irradiation with Machine Learning: A Novel Analysis with the Japanese Mesoscale Model. J. Appl. Meteor. Climatol. 59, 1011–1028 (2020).
3. Junior, J. G. da S. F. et al. Regional photovoltaic power fluctuations within frequency regulation control time frames: A study with high-resolution data. Progress in Photovoltaics: Research and Applications 26, 402–413 (2018).
2. Fonseca Junior, J. G. da S., Oozeki, T., Ohtake, H., Takashima, T. & Ogimoto, K. Regional forecasts of photovoltaic power generation according to different data availability scenarios: a study of four methods. Prog. Photovolt: Res. Appl. 23, 1203–1218 (2015).
1. Fonseca, J. G. da S. et al. Use of support vector regression and numerically predicted cloudiness to forecast power output of a photovoltaic power plant in Kitakyushu, Japan. Progress in Photovoltaics: Research and Applications 20, 874–882 (2012).
Other Publications in https://scholar.google.com/citations?user=kGU9pIUAAAAJ&hl=en&oi=ao
Education
2009
Dr. Eng. Mechanical and Systems Engineering at Graduate School of Natural Science, Kobe University, Kobe, Japan.
2003
M.Sc,. Mechanical Engineering, Thermal Sciences and Transport phenomena, at Universidade Federal do Rio Grande do Sul – UFRGS, Porto Alegre, Brazil.
2002
B.S. Mechanical Engineering, Universidade Federal do Rio Grande do Sul – UFRGS, Porto Alegre, Brazil
Previous Appointments
2025 – 2025:
Tokyo University of Agriculture and Technology, Ikegami Laboratory, Project Associate Professor, Research theme: Integration of renewables on power grids, long duration energy storage.
2014 – 2024:
The University of Tokyo, Institute of Industrial Science, Project Researcher until 2015, Project Assistant Professor until 2020, Project Associate Professor until 2024. Research theme: Forecasting techniques on PV power, integration of renewables on power grids, curtailment of PV power.
2009 – 2014:
National Institute of Advanced Industrial Science and Technology (AIST), Research Center for Photovoltaic Technologies, Post Doctoral Researcher, Research theme: Forecast of Insolation and of photovoltaic systems' power generation with machine learning techniques.
Professional Associations
IEEJ, AGU